The support vector machine is a learning algorithm, which has a good classification ability for limited training samples.
支撑矢量机是一种能在训练样本数很少的情况下达到很好分类推广能力的学习算法。
The classification ability was verified by support vector machines algorithm with various kernel functions.
采用不同核函数的支持向量机算法验证分类能力。
By comparison, LVQ network was better than the others in classification ability and training cost, and PNN network in computation load and easy use.
比较而言，学习矢量量化网络在分类能力和训练成本方面更胜一筹，而概率神经网络则在计算负载和易用性方面更好一些。
By comparison, LVQ network and PNN network are better than BPN network in classification ability, and PNN network is better than the others in computation load.
比较而言，学习矢量量化网络和概率神经网络在分类能力方面要比反向传播网络好一些，概率神经网络在计算负载方面比学习矢量量化网络要更胜一筹。
In this paper, the ancient Chinese character recognition image classification system is developed. The results show that the system has high classification ability.
本文开发了古汉字图像分类识别系统，应用结果表明本系统具有较高的分类识别能力。
The choice of quantity and position of hidden layer radial basis functions is very important and directly affects the goodness of fit of overall network classification ability.
在径向基函数神经网络中，隐层中心的数量和位置的选择是整个网络性能优劣的关键，直接影响网络的分类能力。
Rough set theory is a mathematical tool to deal with incomplete and uncertain knowledge, it can reduce knowledge under maintained the same classification ability of decision table.
粗糙集理论是一种处理不完整性和不确定性知识的数学工具，能够在保持决策表分类能力不变的情况下，进行知识的约简。
Rough set theory is a mathematical tool to deal with incomplete and uncertain knowledge, it can reduce knowledge under maintained the same classification ability of decision table.
粗糙集理论是一种处理不完整性和不确定性知识的数学工具，能够在保持决策表分类能力不变的情况下，进行知识的约简。
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